6216ab7e4df306fc4bf0763e6bfbda6c2f659f8c,grakel/kernels/kernel.py,kernel,fit_transform,#kernel#Any#,163

Before Change

        km = self._calculate_kernel_matrix()
        self._X_diag = np.diagonal(km).reshape(km.shape[0], 1)
        if self._normalize:
            self._X_diag = np.copy(self._X_diag)
            km /= np.sqrt(np.multiply(self._X_diag.T, self._X_diag))
        return km

    def _calculate_kernel_matrix(self, Y=None):
        Calculate the kernel matrix given a target_graph and a kernel.

After Change

        self._X_diag = np.diagonal(km).reshape(km.shape[0], 1)
        if self._normalize:
            return np.divide(km,
                             np.sqrt(np.multiply(self._X_diag.T,
                                                 self._X_diag)))
        else:
            return km

    def _calculate_kernel_matrix(self, Y=None):

Instances